Computer Vision Project

Detecting Traffic Law Violators Running through Red Light Using Pre-Trained YOLOv8 Model

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Pre-Requisites:

1. Python 3.9
2. Terminal (Windows PowerShell)
3. IDE (Microsoft Visual Studio Code)

How to Use This:

1. Clone this repository

   git clone git@github.com:AhdaArif/YOLOv8.git

2. Generate virtual environment

   py -3.9 -m venv Env

3. Activate the environment

   ./Env/Scripts/Activate.ps1

4. Install Numpy

   py install numpy

5. Downgrade the PIP to the version 21.1.1

   ./Env/Scripts/python.exe -m pip install pip==21.1.1

6. Install LAP

   pip install lap

7. Reupgrade the PIP to the latest

   ./Env/Scripts/python.exe -m pip install -U pip

8. Install PyTorch with CUDA support or not

   For CUDA-capable system:

   pip install torch torchvision --index-url https://download.pytorch.org/whl/cu118

   For just of CPU use, without GPU acceleration:

   pip install torch torchvision

9. Install Ultralytics

   pip install ultralytics